India-based execution for every data infrastructure project your US team is delaying.
Full data warehouse migration: schema conversion, PL/SQL-to-dbt rewrite, historical data load, query performance tuning, and validation testing. Typical delivery: 8–16 weeks. Most common project we run.
Hadoop/HDFS or data warehouse migration to Databricks. Delta Lake architecture design, Spark ETL pipelines, Unity Catalog setup, medallion architecture (bronze/silver/gold), and ML feature store build.
On-premise Oracle, SQL Server, MySQL, or PostgreSQL to AWS RDS/Aurora, Azure SQL, GCP Cloud SQL, or managed cloud equivalents. Zero-downtime cutovers with DMS and CDC (change data capture).
dbt, Apache Airflow, AWS Glue, Azure Data Factory, Fivetran, and custom Python/Spark pipelines. Incremental loads, slowly-changing dimensions, data quality checks, and lineage documentation.
Salesforce, HubSpot, Microsoft Dynamics 365, and Zoho CRM migrations. SAP, Workday, NetSuite, and Odoo data migrations. Data mapping, deduplication, relationship preservation, and validation.
Structure your raw data for AI/ML: document chunking and vectorization for RAG, dataset labeling, PII de-identification, data cleaning and normalization, and AI training data pipeline setup for LLM fine-tuning.
The same process for every migration — no surprises.
Discovery & Inventory
Schema audit, row counts, data quality scan, dependency mapping
Schema Design
Target schema design, type mapping, normalization/denormalization decisions
ETL Build & Test
Pipeline development, transformation logic, row-count and checksum validation
Dry Run
Full migration to staging, UAT, performance testing, business validation
Cutover
Final migration, CDC sync window, go-live, rollback plan ready
Fixed price in USD. 60% less than US data consulting rates.
Yes — this is our most common project. We handle schema conversion, PL/SQL-to-dbt transformation rewrite, historical data load, and query performance validation. Typical Oracle-to-Snowflake migration: 8–16 weeks, $40K–$100K fixed price depending on data volume and complexity.
We migrate from any source — legacy CRM, spreadsheets, Access databases, or other SaaS CRMs — to Salesforce, HubSpot, Microsoft Dynamics 365, and Zoho CRM. Full data mapping, deduplication, relationship preservation, and post-migration validation.
We use CDC (Change Data Capture) to sync ongoing changes during the migration window, so the source database stays live until cutover. Full dry run on staging, rollback plan prepared, and cutover window scheduled at your lowest-traffic time.
Structuring, cleaning, and preparing your raw data for AI use — document chunking for RAG knowledge bases, dataset labeling for model training, PII de-identification, and vector-ready export. Essential before building any AI system that uses your existing data.